4-gov About the Speaker

Part One: Reification

1. The Gravity Principle 2. Biology as Governance Precedent 3. The Immune System Model 4. The Context Imperative 5. The Accountability Principle 6. Agency and MRH 7. The Constraint Fallacy 8. Law in the Loop

Part Two: The Architecture

9. Web4 Architecture Thesis 10. The Lab 11. Identity-Memory-Accountability Chain 12. Trust is Contextual 13. Linked Context Token 14. T3/V3 and MRH 15. Societies, Policy, and Law 16. ATP/ADP Energy Metabolism 17. R6/R7 Action Framework 18. The Entity Equation 19. Hardbound Enterprise Implementation 20. What This Means For You 21. The Invitation

Part Three: Deep Dive

Standalone topics — explore in any order

22. Reification in Depth 23. T3/V3 Mechanics 24. MRH Boundaries 25. ATP/ADP Economics 26. The Witness Network 27. Hardware Binding 28. Attack Surface 29. EU AI Act Alignment 30. Case Study: LiteLLM Supply Chain Attack 31. When the Agent Governs Its Own Governance 32. Axiomatically Opinionated, Implementationally Agnostic 33. Web1 → Web4: What Each Built and Where Each Stopped 34. Why DAOs Failed 35. Who Watches the Watchmen?36. Entities, Agents, and Roles 37. Orchestrators as Governance Subjects 38. Case Study: Claude Code Source Leak 39. Rubber Duck: Who Reviews the Reviewer?40. Token Authority vs Relational Trust

Part Four: Live Demo

• Live Demo • Mystery Deep Dive

Part Four: Live

Mystery Deep Dive

How Claude scored 94.85% on ARC-AGI-3

— and why it's a governance lesson.

In-person live topic only.

Computable Accountability — AI Collective, April 24, 2026

Dennis Palatov, Metalinxx Inc. · dp@metalinxx.io